Evolutionary robotics and neuroscience

Patricia Vargas, Renan Moioli, Phil Husbands, Yoon-Sik Shim, Andy Philippides, Michael O'Shea

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)


Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers.

The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis of evolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolution of robot brains and bodies; group behavior; the evolution of communication; translating evolved behavior into design principles; the development of an evolutionary robotics–based methodology for shedding light on neural processes; an incremental approach to complex tasks; and the notion of “mindless intelligence”—complex processes from immune systems to social networks—as a way forward for artificial intelligence.
Original languageEnglish
Title of host publicationThe Horizons of Evolutionary Robotics
EditorsP.A. Vargas, E. Di Paolo, I. Harvey, P. Husbands
PublisherMIT Press
ISBN (Electronic)9780262322232
ISBN (Print)9780262026765
Publication statusPublished - Mar 2014


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